36,219 Hits in 5.9 sec

Plug-in electric vehicles as demand response to absorb local wind generation in power distribution network

Sikai Huang, David Infield, Andrew Cruden, Damien Frame, David Densley
2013 2013 World Electric Vehicle Symposium and Exhibition (EVS27)  
Key to this work is the recognition that domestic vehicles are parked for typically 95% of the time, hence these EVs can be utilised as a ready form of responsive demand.  ...  Over the same period it is also forecast that the security of supply of the UK power system will be affected due to the increasing imbalance due to increased demand (from EVs) and uncontrolled supply (  ...  In this paper smart charging strategies are presented that have been developed based on Monte Carlo modelling of domestic EV use, itself based on extensive data describing UK domestic driving patterns.  ... 
doi:10.1109/evs.2013.6914713 fatcat:t36ials2pbeozmu3b7yngqmvdq

A Particle-Swarm-Optimization-Based Approach for the State-of-Charge Estimation of an Electric Vehicle When Driven Under Real Conditions

Aramis Perez, Francisco Jaramillo, Cesar Baeza, Martin Valderrama, Vanessa Quintero, Marcos Orchard
2021 Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM  
estimate the model parameters using real EV driving data.  ...  The data was obtained by a real-driving experiment, which consists on driving the EV in a complete discharge cycle on a highway.  ...  ACKNOWLEDGMENTS The work of A. Perez was supported by the University of Costa Rica under research projects 322-C1-465 and 322-C1-467. The work of V.  ... 
doi:10.36001/phmconf.2021.v13i1.3013 fatcat:wybixlcq75hctbqqirhmg4xtde

Connected and Shared X-in-the-Loop Technologies for Electric Vehicle Design

Valentin Ivanov, Klaus Augsburg, Carlos Bernad, Miguel Dhaens, Mathieu Dutré, Sebastian Gramstat, Pacôme Magnin, Viktor Schreiber, Urška Skrt, Nick Van Kelecom
2019 World Electric Vehicle Journal  
models (MFM) approaches; and formulation of case studies to illustrate XILforEV applications.  ...  The paper discusses the following relevant topics: global XILforEV architecture; realization of required high-confidence models using dynamic data driven application systems (DDDAS) and multi fidelity  ...  The dynamic data-driven ROM is being obtained with an analogue approach to the one used and described in the projection of the initial model.  ... 
doi:10.3390/wevj10040083 fatcat:lwl7aqsmy5b6zmu3umpp4dmdgq

A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions

Cedric De Cauwer, Wouter Verbeke, Thierry Coosemans, Saphir Faid, Joeri Van Mierlo
2017 Energies  
The data-driven approach has the advantage that the model can easily be updated over time with changing conditions.  ...  This data-driven methodology combines real-world measured driving data with geographical and weather data to predict the consumption over any given road in a road network.  ...  contribution in providing data; and Flanders Make for the support to our team.  ... 
doi:10.3390/en10050608 fatcat:odnb4dn655dwvkphtbiqiattz4

Multi-Objective CFD-Driven Development of Coupled Turbulence Closure Models [article]

Fabian Waschkowski, Yaomin Zhao, Richard Sandberg, Joseph Klewicki
2021 arXiv   pre-print
By assigning a shared fitness value to the evolved closure models and utilizing the CFD-driven training approach by Zhao et al. (2020), the multi-expression training concept introduced here is able to  ...  The extension yields a diverse set of candidate models and allows a trade-off between the training objectives after analyzing the training results.  ...  Due to a diverse pool of candidate solutions created by the multi-objective optimization approach, we are additionally able to select the set of EVE-MO-9 models as a solution that combines Conclusion  ... 
arXiv:2105.06225v1 fatcat:56knodxpyva2fa6mg22fgfpwsm

A Deep Reinforcement Learning Based Car Following Model for Electric Vehicle

Yuankai Wu, Huachun Tan, Jiankun Peng, Bin Ran
2019 智能城市应用  
There is an emerging trend to use data-driven method to build CF models.  ...  One challenge to the data-driven CF models is their capability to achieve optimal longitudinal driven behavior because a lot of bad driving behaviors will be learnt from human drivers by the supervised  ...  Recent developments in the field of big data have led to an interest in development of data-driven CF models (He, 2015) .  ... 
doi:10.33142/sca.v2i5.813 fatcat:wustcfqqfzhn3i6tzxlyn5ewaa

Guest Editorial: Selected Papers from the 25th ITS World Congress Copenhagen 2018

2018 IET Intelligent Transport Systems  
A typical event has 200+ discussion sessions and workshops, 400+ delegates, 10,000+ visitors, and over 500 papers.  ...  A World Congress on Intelligent Transport Systems (ITS) has been held every year since 1994 with the location rotating among the three organising Regions: Americas, Asia-Pacific and Europe.  ...  The paper describes a recommendation system based on calculations from energy consumption predicted by data-driven models constructed from actual data on EV trips.  ... 
doi:10.1049/iet-its.2018.0117 fatcat:iqzr7zk5nbgidlz7mq45e6ucey

Modelling Electro-mobility: An Integrated Modelling Platform for Assessing European Policies

Christian Thiel, Yannis Drossinos, Jette Krause, Gillian Harrison, Dimitrios Gkatzoflias, Alberto V. Donati
2016 Transportation Research Procedia  
consumption and (real world & type approval) emission calculation, both for Tank-to-Wheel and Well-to-Wheel An EV-Charging model that estimates the energy-consumption of electric vehicles and calculates  ...  The Joint Research Centre, as the European Commission's inhouse science service, has created a suite of models on electro-mobility, which serves to assess policies towards electrification of road transport  ...  Acknowledgements The authors would like to thank Dr. Panagiota Dilara and Dr.  ... 
doi:10.1016/j.trpro.2016.05.341 fatcat:dqrl62f5ebcp5e2j2hfu7diif4

A Machine Learning-Based Robust State of Health (SOH) Prediction Model for Electric Vehicle Batteries

Khalid Akbar, Yuan Zou, Qasim Awais, Mirza Jabbar Aziz Baig, Mohsin Jamil
2022 Electronics  
At first, an intelligent model was created using a data-driven modeling strategy. Secondly, the concurrent battery data are qualified using the data-driven model.  ...  As a result of these three indicators, the data-driven ML model used in this study proved to be accurate.  ...  An Overview of the Proposed Method This study helps to identify a novel approach toward rapid data modeling employing a data-driven ML-based approach.  ... 
doi:10.3390/electronics11081216 fatcat:5ypa46wvpnhwfmewmzgjrxhatq

Cyber-Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges and Future Visions

Jin Ye, Lulu Guo, Bowen Yang, Fangyu Li, Liang Du, Le Guan, Wenzhan Song
2020 IEEE Journal of Emerging and Selected Topics in Power Electronics  
Finally, potential research opportunities are discussed in detail, including detection and migration for firmware security, model-based, and data-driven detection and mitigation.  ...  More importantly, an architecture for the next-generation power electronics systems is proposed to address the cyber-physical security challenges of EVs.  ...  and data-driven approaches.  ... 
doi:10.1109/jestpe.2020.3045667 fatcat:c3dzwsbtljeqng42zrjxq4b2ny

Intelligent Infrastructure for Last-mile and Short-distance Freight Transportation with Electric Vehicles in the Domain of Smart City Logistic

Volkmar Schau, Sebastian Apel, Kai Gebhardt, Johannes Kretzschmar, Christian Stolcis, Marianne Mauch, Johan Buchholz
2016 Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems  
The Smart City Logistik project strives for a practical and short-term solution to this problem in the concrete context set by the city of Erfurt, Germany.  ...  This paper provides the results of an open and intelligent infrastructure for transportation with electric vehicles.  ...  ACKNOWLEDGEMENTS We would like to thank all members of the SCL research team here at FSU Jena -there are too many to name them all in person.  ... 
doi:10.5220/0005762501490159 dblp:conf/vehits/SchauAGKSMB16 fatcat:okvvqoswenaebciins6vybjawa

State of charge and health estimation of batteries for electric vehicles applications: key issues and challenges

Samarendra Pratap Singh, Praveen Prakash Singh, Sri Niwas Singh, Prabhakar Tiwari
2021 Global Energy Interconnection  
as an accurate prediction of its life, are necessary to ensure reliability and efficiency.  ...  Li-ion batteries have attracted considerable attention in the EV industry, owing to their high energy density, power density, lifespan, nominal voltage, and cost.  ...  Declaration of Competing Interest We have no conflict of interest to declare.  ... 
doi:10.1016/j.gloei.2021.05.003 fatcat:pcdlwl2njrb4nmnbvomifgjfvq

A Framework for Electric Vehicle Development: From Modelling to Engineering Through Real-World Data Analysis [chapter]

Horst Pfluegl, Claudio Ricci, Laura Borgarello, Pacôme Magnin, Frank Sellier, Lorenzo Berzi, Marco Pierini, Carolien Mazal, Hellal Benzaoui
2015 Lecture Notes in Mobility  
Also described is the methodology to identify design goals based on real life data through assessment and definition of a representative driving cycle for FEV.  ...  It describes the modelling approach and gives a good overview on virtual product development by means of model based system engineering (MBSE).  ...  cycles o "extended" drive cycles : integrate a slope profile o "complete" drive cycles : integrate curve profiles  Charging cycles (specific to EVs)  Driver models (typical drivers behaviors)  Environmental  ... 
doi:10.1007/978-3-319-13656-1_4 fatcat:s4sjxn7h2jepxbyf6gezogxl6e

Willingness to Pay and Attitudinal Preferences of Indian Consumers for Electric Vehicles [article]

Prateek Bansal, Rajeev Ranjan Kumar, Alok Raj, Subodh Dubey, Daniel J. Graham
2021 arXiv   pre-print
We adopt a hybrid choice modelling approach for the above analysis.  ...  Our results suggest that Indian consumers are willing to pay an additional USD 10-34 in the purchase price to reduce the fast charging time by 1 minute, USD 7-40 to add a kilometre to the driving range  ...  Modelling Approaches for WTP Estimation In terms of modelling approaches to estimate the WTP, the majority of studies rely on randomutility-theory-based multinomial logit model (MNL) and its extensions  ... 
arXiv:2101.08008v2 fatcat:pkavdtgneravvl2okyhot4suqu


2021 IEEE Transactions on Intelligent Vehicles  
In this research, an agent-based model is developed to simulate vehicle charging demand and then validated against real traffic data.  ...  This study proposes a data-driven motion planning method capable of minimizing injury severity for vehicle occupants in unavoidable collisions.  ...  This paper proposed a real-time tracking algorithm based on L-Shape fitting. The algorithm detects the corners of moving vehicles and uses RANSAC to take a limited amount of noisy data.  ... 
doi:10.1109/tiv.2021.3110216 fatcat:qob34ndb6jfurg75nhiinndvye
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